Job Description

Machine Learning (ML) Engineer

Experience & Skills Fitment:

• 4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production.
• Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas.
• Knowledge of Big Data frameworks like Hadoop, Spark, Pig,Hive, Flume, etc.
• Experience in working with ML frameworks like TensorFlow,Keras, OpenCV.
• Strong written and verbal communications.
• Excellent interpersonal and collaboration skills.
• Expertise in visualizing and manipulating big datasets.
• Familiarity with Linux.
• Ability to select hardware to run an ML model with the required latency.
• Robust data modelling and data architecture skills.
• Advanced degree in Computer Science/Math/Statistics or a related discipline.
• Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)‍‍

‍Nice to have

• Familiarity with Java, and R code writing.
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Supervising the data acquisition process if more data is needed.
• Finding available datasets online that could be used for training.